Publication
Use of Artificial Intelligence in physiotherapy education and research in european higher education institutions
| dc.contributor.author | Alves Lopes, António | |
| dc.contributor.author | Valero, Pedro Chana | |
| dc.contributor.author | Alessie, Jeroen | |
| dc.date.accessioned | 2024-09-19T14:59:45Z | |
| dc.date.available | 2024-09-19T14:59:45Z | |
| dc.date.issued | 2024-09-14 | |
| dc.description.abstract | The emergence of Artificial Intelligence has the potential to impact the education of health professions (Veras, 2024). This study aimed to understand the perceived knowledge, usage patterns, attitudes, concerns, and necessities of physiotherapy educators and researchers regarding AI integration in European higher education institutions. The sample was composed of educators and researchers involved in physiotherapy education across various European countries. The data was collected using an online survey disseminated through the European Network of Physiotherapy in Higher Education (www.enphe.org) newsletter and online platforms. The data collection period spanned from October 2023 till April 2024. The survey results indicate a generally positive perception and understanding of AI among physiotherapy educators and researchers. Most respondents agree on the potential benefits of AI in both education and research, highlighting its capacity to enhance teaching and optimize the research processes. However, as identified in other studies (Shorey et al , 2024), there are concerns regarding the ethical implications of AI integration, with over one-third of respondents expressing reservations. These concerns primarily revolve around data privacy, potential biases, and the need for clear ethical guidelines to govern AI use in educational and research contexts. The data suggests a need to increase the knowledge of physiotherapy educators and researchers towards the integration of AI and facilitate dialogue around ethical issues. Enhancing AI literacy and addressing ethical concerns are important for the successful integration of AI in physiotherapy education and clinical practice, ensuring informed and ethical use. | pt_PT |
| dc.description.version | N/A | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.26/52133 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.subject | Artificial intelligence | pt_PT |
| dc.subject | European higher education institutions | pt_PT |
| dc.subject | Physiotherapy education | pt_PT |
| dc.title | Use of Artificial Intelligence in physiotherapy education and research in european higher education institutions | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Polónia | pt_PT |
| oaire.citation.title | ENPHE Conference 2024: Physiotherapy Education: Aiming at excellence through collaboration | pt_PT |
| person.familyName | Alves Lopes | |
| person.givenName | António | |
| person.identifier.ciencia-id | 0518-F2A3-C5B4 | |
| person.identifier.orcid | 0000-0001-7505-6744 | |
| person.identifier.scopus-author-id | 57217386138 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 3680dab5-8822-4558-918a-df699bda57ad | |
| relation.isAuthorOfPublication.latestForDiscovery | 3680dab5-8822-4558-918a-df699bda57ad |